Optical flow computation is one of the fundamental tasks in computer vision.
Deep learning methods allow efficient computation of optical flow,
both in supervised learning on synthetic data [1]}, [2]},
and in the self-supervised [3]}, [4]} setting.
Flow has been useful for a wide range of problems,
occasionally even used in lieu of appearance cues (RGB images) for
tracking [5]}, pose estimation [6]},
representation learning [7]}, and motion segmentation [8]}.
